gkamradt/langchain-tutorials resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

7484 stars · 2016 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of Jupyter notebook tutorials and example projects teaching the LangChain library, including a two-part cookbook covering core concepts and use cases. It also curates a gallery of community-built LangChain projects organized by difficulty level.

Use cases

• learn langchain from scratch
• langchain tutorial with code examples
• understand langchain core concepts
• find example langchain projects
• learn prompt engineering for llm apps
• build rag and document qa apps with langchain

When to choose

• you are new to LangChain and want a guided learning path with notebooks and videos
• you want runnable example code for common LLM use cases like summarization and document Q&A
• you want curated real-world LangChain projects to study

When to avoid

• you need up-to-date documentation for current LangChain APIs, as notebooks may lag behind library releases
• you want a production-ready framework rather than learning material
• you need a formally licensed codebase for reuse, since the repo has no license

Facets

learning-resource · maturity maintenance

llm-inference rag prompt-engineering agent-framework large-language-models tutorials artificial-intelligence python jvm-scripting langchain jupyter-notebooks llm-tutorials openai example-projects ai-agents

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markdown · JSON · MCP: product_card(name="gkamradt/langchain-tutorials")